Sustainable Development Goals Indicators: A Methodological Proposal for a Multidimensional Fuzzy Index in the Mediterranean Area

Sustainability

卷:11

Angelo Riccaboni¹  Margherita Casini¹  Francesca Gagliardi²  Gianni Betti²  Simone Bastianoni³  Massimo Gigliotti³ 

[1] Department of Business and Law, University of Siena, Piazza San Francesco 7/8, 53100 Siena, Italy;

[2] Department of Economics and Statistics, University of Siena, Piazza San Francesco 7/8, 53100 Siena, Italy;

[3] Ecodynamics Group, Department of Earth, Environmental and Physical Sciences, University of Siena, Pian dei Mantellini 44, 53100 Siena, Italy;

关键词: SDGs;    fuzzy set;    multidimensional index;    Mediterranean area;   

DOI  :  10.3390/su11041198

来源: DOAJ

【 摘 要 】

This paper describes a methodology for the construction of a multidimensional index for sustainability assessment in the context of the Sustainable Development Goals (SDGs) of the UN 2030 Agenda. The methodology is designed to properly capture the multidimensional nature of sustainable development and the SDG framework, introducing an innovative Fuzzy Multidimensional Index to measure the performance of Mediterranean countries. The focus is on agro-food sustainability, in-line with the aims of the Partnership for Research and Innovation in the Mediterranean Area (PRIMA). Drawing on fuzzy set theory, a step-by-step procedure was developed: the underlying dimensions of a set of selected indicators for the SDGs are identified by exploratory factor analysis; an innovative weighting method is applied to aggregate the indicators and calculate the country scores for each dimension and the Fuzzy Multidimensional Index. The PRIMA program will be a first step towards the implementation of innovative solutions, by funding international cooperation projects between countries on both sides of the Mediterranean for a decade: the Fuzzy Multidimensional Index will be the primary source of data for evaluating such projects and policies implemented from them; the Index will therefore be able to close a gap in the availability of appropriate data.

【 授权许可】

Unknown